GPT-4o combines text, audio, and vision processing in one model, enabling real-time, seamless interactions. It offers improved performance in non-English languages and vision tasks, and is faster and more cost-effective compared to its predecessors. GPT-4o is designed for practical usability and is being rolled out with extended features and capabilities.
This model represents a significant advancement in AI, offering a more seamless and integrated experience across different forms of communication.
GPT-4o sets new benchmarks in multilingual, audio, and vision capabilities. It outperforms Whisper-v3 in speech recognition and translation, and achieves higher scores on the M3Exam benchmark compared to previous models. In reasoning tasks, GPT-4o matches GPT-4 Turbo but with significant improvements in non-English languages and is 50% cheaper.
GPT-4o demonstrates superior performance in several benchmarks compared to its peers. In the MMLU benchmark, GPT-4o scores 88.7, surpassing GPT-4Turbo’s 86.5 and GPT-4 (23-03-14)’s 86.4. GPT-4o also excels in GPQA with a score of 53.6, significantly higher than GPT-4Turbo’s 48.0 and GPT-4 (23-03-14)’s 35.7. In the MATH benchmark, GPT-4o leads with 76.6, outperforming GPT-4Turbo’s 72.6. HumanEval results show GPT-4o at 90.2, ahead of GPT-4Turbo’s 87.1. In the MGSM benchmark, GPT-4o scores 90.5, slightly behind Claude 3 Opus’s 90.7 but ahead of GPT-4Turbo’s 88.5. Finally, in the DROP(f1) benchmark, GPT-4o scores 83.4, closely trailing GPT-4Turbo’s 86.0.
The team behind GPT-4o consists of experts in AI research, deep learning, and multimodal systems. They have developed this model to push the boundaries of natural human-computer interaction, combining text, audio, and vision processing in one comprehensive model. Their efforts focus on practical usability, efficiency, and safety.